RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning

2 August 2021

Papers citing "RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning"

6 / 6 papers shown

Title
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling F. Bianchi Daniele Grattarola L. Livi Cesare Alippi 176 49 0 24 Oct 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices Xiaolong Ma Fu-Ming Guo Wei Niu Xue Lin Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang CVBM 54 176 0 06 Sep 2019
Pose Flow: Efficient Online Pose Tracking Yuliang Xiu Jiefeng Li Haoyu Wang Yinghong Fang Cewu Lu VOT 3DH 85 315 0 03 Feb 2018
The Kinetics Human Action Video Dataset W. Kay João Carreira Karen Simonyan Brian Zhang Chloe Hillier ... Tim Green T. Back Apostol Natsev Mustafa Suleyman Andrew Zisserman 252 3,815 0 19 May 2017
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields Zhe Cao Tomas Simon S. Wei Yaser Sheikh 3DH 153 6,546 0 24 Nov 2016
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis Amir Shahroudy Jun Liu T. Ng G. Wang 253 2,494 0 11 Apr 2016